孟加拉国社会性别角色认知和对女性管理者的态度

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Biometrics Pub Date : 2020-11-10 DOI:10.5539/ijbm.v15n12p122
A. Jahiruddin, Mir Sohrab Hossain, Mehedi Rahman, Shahanaz Akter
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引用次数: 0

摘要

本研究调查了孟加拉国不同类型组织中员工对女性管理者的态度。通过一个多阶段的程序,选择了两组答复者- -女经理的主管和向女经理报告的其他雇员- -进行数据收集。研究发现,总的来说,员工对工作场所的女性经理持冷漠态度。在与女性领导相关的不同方面,员工对女性管理者的知识和技能表现出良好的态度,而员工认为母性和其他女性化问题使女性在管理岗位上不受欢迎。在调查不同人口群体之间的差异时,根据性别、年龄和就业部门,不同群体之间存在显著差异。而员工与女性管理者的汇报关系(上下级)差异不显著。
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Gender Role Perception in Society and Attitude towards Women Managers in Bangladesh
This study investigates employees’ attitudes towards women managers in different types of organizations in the context of Bangladesh. Two groups of respondents – supervisors of the women managers and other employees who report to the women managers were selected for data collection through a multistage procedure. The study found that employees, on the whole, have an indifferent attitude towards women managers at the workplace. Among different aspects pertinent to women's leadership, the employees demonstrated a favorable attitude about the women managers’ knowledge and skill, while the employees feel that maternity and other feminine issues make women less desirable in the managerial positions. As the differences were investigated among the respondents of different demographic groups, significant differences were found among various groups based on gender, age, and sectors of employment. However, no significant difference was found among the employees based on their reporting relation with (supervisor and sub-ordinate) the women managers.
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来源期刊
International Journal of Biometrics
International Journal of Biometrics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
1.50
自引率
0.00%
发文量
46
期刊介绍: Biometrics and human biometric characteristics form the basis of research in biological measuring techniques for the purpose of people identification and recognition. IJBM addresses the fundamental areas in computer science that deal with biological measurements. It covers both the theoretical and practical aspects of human identification and verification.
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